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Comparison

caveman vs RasaGPT

Verdict

Pick caveman if caveman reduces token usage by 65% through minimalistic language for coding agents, supporting two sizes and primarily written in Go; pick RasaGPT if rasaGPT is a pioneering headless chatbot platform that merges Rasa with technologies like FastAPI, Langchain, and LlamaIndex.

Markdown twin · caveman alternatives · RasaGPT alternatives

GraphCanon updated Sep 20, 2026

caveman logo

caveman

JuliusBrussee/caveman

★ 106kpushed Sep 18, 2026
vs
RasaGPT logo

RasaGPT

paulpierre/RasaGPT

★ 2.5kpushed Nov 12, 2025

Trust & integrity

SignalcavemanRasaGPT
Maintenance
Very active (0d since push)
As of Sep 18, 2026 · github_public_v1
Slowing (299d since push)
As of Sep 8, 2026 · github_public_v1
Provenance
Not a fork · Personal account
As of Sep 18, 2026 · github_public_v1
Not a fork · Personal account
As of Sep 8, 2026 · github_public_v1
OSV dependency advisories
No published findings from this source as of 2026-09-18
As of Sep 18, 2026 · osv@v1
No lockfile (source not queried)
As of Jul 11, 2026 · osv@v1
deps.dev advisories
Not queried
deps.dev@v1
Not queried
deps.dev@v1
OpenSSF Scorecard
Not queried
openssf-scorecard@v1
Not queried
openssf-scorecard@v1
caveman trust reportRasaGPT trust reportTrust methodology

Tagline

caveman
Reduces token usage by 65% through minimalistic language for coding agents
RasaGPT
First headless LLM chatbot platform built on top of Rasa and Langchain

Stars

caveman
106k
RasaGPT
2.5k

Forks

caveman
6.2k
RasaGPT
250

Open issues

caveman
127
RasaGPT
57

Language

caveman
Go
RasaGPT
Python

Adopt for

caveman
Caveman reduces token usage by 65% through minimalistic language for coding agents, supporting two sizes and primarily written in Go.
RasaGPT
RasaGPT is a pioneering headless chatbot platform that merges Rasa with technologies like FastAPI, Langchain, and LlamaIndex.

Persona

caveman
-
RasaGPT
-

Runtime

caveman
-
RasaGPT
-

License

caveman
Caveman operates under a split license: MIT for the skill, Agent SDK, and initializer, and BSL-1.1 for the engine-linked runtime, which converts to Apache-2.0 by 2030 or four years after shipping.
RasaGPT
MIT

Last pushed

caveman
Sep 18, 2026
RasaGPT
Nov 12, 2025

Categories

caveman
AI Agents, Model Training
RasaGPT
AI Agents, Inference & Serving, Model Training

Trust and health

Maintenance

caveman
Very active (96%)
RasaGPT
Slowing (36%)

Days since push

caveman
0d
RasaGPT
299d

Open issues (now)

caveman
127
RasaGPT
57

Stars delta

caveman
+8.0k (30d)
RasaGPT
-1 (30d)

Open issues delta

caveman
-358 (30d)
RasaGPT
0 (30d)

OSV dependency advisories

caveman
No published findings from this source as of 2026-09-18
RasaGPT
No lockfile (source not queried)

Full report

caveman
Trust report
RasaGPT
Trust report

Choose caveman if…

  • caveman is primarily Go; RasaGPT is Python.
  • License: caveman is Other, RasaGPT is MIT.
  • Pricing: The skill, Agent SDK, and initializer are free under MIT license. Hosting Caveman for third parties requires a commercial license..
  • Requirements: Min 1 GB RAM; Caveman is primarily written in Go and supports two sizes, allowing for flexible deployment..
  • Tags unique to caveman: anthropic, caveman, claude, claude-code.
  • When you need to significantly reduce token usage in coding agents, as Caveman can cut usage by 65% through its simplified language style.

When NOT to use caveman

  • If your project requires a fully OSI-approved open-source license, as Caveman's engine-linked runtime is BSL-1.1, which is not OSI-approved until a future date.
  • When you need a tool that does not involve a trademarked name and logo, as Caveman is trademarked and has specific guidelines for its use.
GitHubDetails

Choose RasaGPT if…

  • RasaGPT is primarily Python; caveman is Go.
  • License: RasaGPT is MIT, caveman is Other.
  • Tags unique to RasaGPT: chatbot, fastapi, langchain, rasa.
  • Also covers Inference & Serving.
  • When you need a robust framework for developing conversational AI solutions and are already familiar with Rasa's ecosystem.

When NOT to use RasaGPT

  • For users preferring platforms that require less technical setup, particularly without needing Docker or specific Python versions.
  • Avoid if development is focused on non-headless chatbot applications that don't leverage the Rasa framework's architecture.
GitHubDetails

Explore

caveman trust report →RasaGPT trust report →AI Agents category →Model Training category →Inference & Serving category →All comparisonsStack workflowsTrending tools

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: caveman 106k · RasaGPT 2.5k (synced Sep 20, 2026).

Common questions

What is the difference between caveman and RasaGPT?
caveman: Reduces token usage by 65% through minimalistic language for coding agents. RasaGPT: First headless LLM chatbot platform built on top of Rasa and Langchain. See the comparison table for live GitHub stats and shared categories.
When should I choose caveman over RasaGPT?
Choose caveman over RasaGPT when caveman is primarily Go; RasaGPT is Python; License: caveman is Other, RasaGPT is MIT; Pricing: The skill, Agent SDK, and initializer are free under MIT license. Hosting Caveman for third parties requires a commercial license.; Requirements: Min 1 GB RAM; Caveman is primarily written in Go and supports two sizes, allowing for flexible deployment.; Tags unique to caveman: anthropic, caveman, claude, claude-code; When you need to significantly reduce token usage in coding agents, as Caveman can cut usage by 65% through its simplified language style.
When should I choose RasaGPT over caveman?
Choose RasaGPT over caveman when RasaGPT is primarily Python; caveman is Go; License: RasaGPT is MIT, caveman is Other; Tags unique to RasaGPT: chatbot, fastapi, langchain, rasa; Also covers Inference & Serving; When you need a robust framework for developing conversational AI solutions and are already familiar with Rasa's ecosystem.
When should I avoid caveman?
If your project requires a fully OSI-approved open-source license, as Caveman's engine-linked runtime is BSL-1.1, which is not OSI-approved until a future date. When you need a tool that does not involve a trademarked name and logo, as Caveman is trademarked and has specific guidelines for its use.
When should I avoid RasaGPT?
For users preferring platforms that require less technical setup, particularly without needing Docker or specific Python versions. Avoid if development is focused on non-headless chatbot applications that don't leverage the Rasa framework's architecture.
Is caveman or RasaGPT more popular on GitHub?
caveman has more GitHub stars (106,401 vs 2,463). Stars measure visibility, not whether either tool fits your constraints.
Are caveman and RasaGPT open source?
Yes - both are open-source projects on GitHub (caveman: Other, RasaGPT: MIT).
Where can I find alternatives to caveman or RasaGPT?
GraphCanon lists graph-backed alternatives at caveman alternatives and RasaGPT alternatives (caveman markdown twin, RasaGPT markdown twin), ranked by typed relationship edges rather than popularity votes.
Is there a machine-readable version of this comparison?
Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
Which is better maintained, caveman or RasaGPT?
caveman: Very active. RasaGPT: Slowing. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
Where are the full trust reports for caveman and RasaGPT?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: caveman trust report; RasaGPT trust report.

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